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基于Wigner双谱对角切片的谱分解技术在油气检测中的应用

Application of Spectrum Decomposition Based on Wigner Bispectrum Diagonal Slice to Oil and Gas Detection

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【作者】 姜传金陈树民刘财鹿琪冯智慧

【Author】 Jiang Chuanjin1,Chen Shumin1,Liu Cai2,Lu Qi2,Feng Zhihui1 1.Exploration and Development Research Institute,Daqing Oil Field Company Ltd.,Daqing 163712,Heilongjiang,China 2.College of GeoExploration Science and Technology,Jilin University,Changchun 130026,China

【机构】 大庆油田有限责任公司勘探开发研究院吉林大学地球探测科学与技术学院

【摘要】 谱分解技术作为一种解释性处理技术得到了地质、地球物理工作者的广泛关注,如何有效地利用其分频显示功能进行油气检测也成为人们关注的一个焦点。利用Wigner高阶谱具有高时频聚集性的特点,提出了一种基于改进核函数的Wigner双谱对角切片的谱分解技术。即在分析指数型核函数与锥形核函数优缺点的基础上,给出了改进的新核函数,进而采用模糊域核函数滤波法抑制Wigner双谱对角切片的交叉项,并解决了Wigner双谱对角切片的模糊函数中心点校正问题。通过对新的核函数交叉项抑制能力的数值模拟,验证新的核函数对时延轴上的交叉项也能抑制。最后对实际地震数据进行了分频处理,在20Hz低频剖面内的油气有利区表现为强能量显示,与井的钻遇结果一致。

【Abstract】 Spectral decomposition technique as an interpretative processing technology has been paid extensive attention by many geological and geophysical researchers.The effectively frequency division display function of seismic signals for oil gas detection has also become a focus point.The authors propose a spectrum decomposition technique of Wigner bispectrum diagonal slice with an improved kernel function based on high time-frequency resolution of the Wigner higher order spectrum.According to the advantages and disadvantages of the exponential and the cone-shaped kernel functions,the new improved kernel function is given.Then the kernel function filtering method in fuzzy fields is used to suppress the cross-terms of Wigner bispectrum diagonal slice and the center point of the ambiguity function in Wigner bispectrum diagonal slice is corrected.The numerical simulation shows that the new function can suppress the cross-terms of time-delay axis.Finally,the effectiveness of new technique is verified by indicating the presence of oil and gas area in 20 Hz profile,and in accord with well.

【基金】 国家“973”计划项目(2009CB219307,2009CB219301);国家自然科学基金项目(41174080)
  • 【文献出处】 吉林大学学报(地球科学版) ,Journal of Jilin University(Earth Science Edition) , 编辑部邮箱 ,2013年03期
  • 【分类号】P631.44;P618.13
  • 【被引频次】6
  • 【下载频次】147
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